The positions
The Department of Physics and Technology has up to three open permanent positions as Associate Professor and/or Professor. Early career scientists, with a promising CV, as well as experienced candidates are invited to apply, respectively for Associate and full Professor.

The faculty members will join the UiT Machine Learning Group. The group is internationally recognized, with research ranging from foundational machine learning methodology and algorithms to applied AI development. The range of applications is wide, with a particular focus on healthcare. The new faculty members shall further strengthen the scientific excellence and high-profile of the group, notably in the Centre of Research-based Innovation SFI Visual Intelligence, which is headed by the group, and the Centre of Excellence SFF Integreat – The Norwegian Centre for Knowledge-based Machine Learning. 

The workplace is at UiT in Tromsø. You must be able to start in the position in Tromsø within 6 months after receiving the offer.

 
Your profile and field of work
You have a strong desire to develop the next generation machine learning methodologies. You find motivation by extracting knowledge from ever-increasing and challenging data, such as images, time series, tabular data, or other sources.  You understand the importance of gaining insight, creating value, and solve real world applications of value to humankind and towards the UN sustainability goals. You find joy in teaching and you hold high ethical standards of your research, teaching and innovations.      

Your interests are in neural networks research, where key research challenges are learning from limited data, interpretability and XAI, uncertainty quantification, and the integration of prior knowledge and context, or in general within self-supervised learning, unsupervised learning, representation learning, generative AI, graph-based learning, information theoretic learning, and/or neural knowledge-based learning. The Machine Learning Group has an internationally recognized expertise in developing theoretical and conceptual aspects of machine learning. This is strengthened by the recent centre of excellence SFF Integreat, where the group plays a major role.   
Within the UiT Machine Learning Group and the SFI Visual Intelligence centre, the main applications are within health and medicine. Our research contributes to diagnosis and decision support by extracting patient-specific information from electronic health records and through medical computer vision for important clinical tasks such as cancer characterization. You can help transform healthcare for future needs, with AI as an integral part. Other relevant application areas include marine sciences for abundance estimation and sustainable harvest of the oceans, as well as environmental monitoring. Through machine learning, we can aid the climate, the oceans and Earth. 

As a faculty member in the UiT Machine Learning Group, you will have the chance to make an impact on the world and to help shape the future of society with better machine learning solutions that are trustworthy and ethically sound. You are expected to collaborate with the current members in the group.  The UiT Machine Learning Group relies strongly on teamwork and joint supervision of students. If you are applying for the Full Professor position, you are expected to bring your network of national and international collaborations and engage them in new connections with the group members.